Articles: Recent submissions

  • Temperature Extremes Projections Over Bangladesh From Cmip6 Multi-model Ensemble 
    Akter, Mst Yeasmin; Islam, Abu Reza Md Towfiqul; Mallick, Javed; Alam, Md Mahfuz; Alam, Edris; Shahid, Shamsuddin; Biswas, Jatish Chandra; Alam, GM Manirul; Pal, Subodh Chandra; Oliver, Md Moinul Hosain (Springer Nature, 2024-08-31)
    Bangladesh, a sub-tropical monsoon climate with low-lying areas, is very susceptible to the impacts of climate change. However, there has been a shortage of studies about the periodicity and projected changes in extreme ...
  • Green Networking Approach Using Conic Optimization 
    Das, Bimal Chandra; Haque, Shahina; Jahan, Nusrat; Begum, Momotaz (Springer, 2024-10-15)
    This study introduces a mixed integer second order cone programming (MISOCP) model called the green Ellipsoid model for power saving in communication networks. The goal of this research is to optimize power consumption in ...
  • Food Craving, Vitamin a, and Menstrual Disorders 
    Sen, Liton Chandra; Jahan, Ishrat; Salekin, Nadia; Shourove, Jahid Hasan; Rahman, Mosiur; Uddin, Md Jamal; Zhang, Cuilin; Hamer, Davidson H.; Islam, G. M. Rabiul (PLOS ONE, 2024-09-25)
    Background: Menstrual disorders, influenced by dietary habits like high fat intake and low fruit and vegetable consumption, are a global public health issue. This study assessed the prevalence of dysmenorrhea, premenstrual ...
  • Gravitational Expansion and Collapse of Anisotropic Cylindrical Source with Cosmological Constant 
    Khalid, Junaid; Abbas, Syed Zaheer; Shah, Hasrat Hussain; Ghoul, J. El; Khandaker, Mayeen Uddin (World Scientific Publishing, 2024-08-22)
    This work presents an anisotropic cylindrical source’s gravitational expansion and collapse with the cosmological constant. For this purpose, we use the cylindrical symmetric metric and energy–momentum tensor to achieve ...
  • Nurses' Perspectives on Privacy and Ethical Concerns Regarding Artificial Intelligence Adoption in Healthcare 
    Rony, Moustaq Karim Khan; Numan, Sharker Md.; Akter, Khadiza; Tushar, Hasanuzzaman; Debnath, Mitun; Johra, Fateha tuj; Akter, Fazila; Mondal, Sujit; Dasi, Mousumi; Uddin, Muhammad Join; Begum, Jeni; Parvin, Mst. Rina (Elsevier, 2024-08-22)
    Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, ...
  • Advancing Thyroid Care: An Accurate Trustworthy Diagnostics System with Interpretable Ai and Hybrid Machine Learning Techniques 
    Sutradhar, Ananda; Akter, Sharmin; Shamrat, F M Javed Mehedi; Idris, Mohd Yamani Idna Bin; Ahmed, Kawsar; Moni, Mohammad Ali (Elsevier, 2024-08-20)
    The worldwide prevalence of thyroid disease is on the rise, representing a chronic condition that significantly impacts global mortality rates. Machine learning (ML) approaches have demonstrated potential superiority in ...
  • Understanding Customer Loyalty in Banking Industry: A Systematic Review and Meta Analysis 
    Kim, Long; Jindabot, Teerasak; Yeo, Sook Fern (Elsevier, 2024-09-22)
    To overcome the current competitive market environment, obtaining high customer loyalty is a key success of retaining customers as loyal customers display high commitment to continue their support with the current service ...
  • Exploring the Multifaceted Vulnerabilities of Female Street Child Labor in the Capital City of Bangladesh 
    Sohel, Md. Salman; Alam, Shafiqul; Rahman, Md. Mizanur; Obaidullah, Md.; Anam, Abu Saief Mohammad Towhidul; Hossain, Babul; Hossai, Md. Alamgir (Elsevier, 2024-09-01)
    Numerous children experience vulnerability due to their families’ profound economic and socioeconomic hardships. Among this demographic, females face heightened susceptibility, particularly those engaged in child labor. ...
  • MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool 
    Sultana, Md. Fahim; Shaona, Md. Shazzad Hossain; Chen, Li; Karima, Tasmin; Dhasarathan, Vigneswaran; Moni, ∙ Mohammad Ali (Elsevier, 2024-09-30)
    Infectious fungi have been an increasing global concern in the present era. A promising approach to tackle this pressing concern involves utilizing Antifungal peptides (AFP) to develop an antifungal drug that can selectively ...
  • Thiazine-derived Compounds in Inhibiting Efflux Pump in Staphylococcus Aureus K2068, Mepa Gene Expression, and Membrane Permeability Alteration 
    Freitas, Priscilla R.; Araújo, Ana C.J. de; Araújo, Isaac M.; Almeida, Ray S. de; Borges, Joao˜ A.O.; Paulo, Cícera L.R.; Oliveira-Tintino, Cícera D.M.; Miranda, Gustavo M.; Araújo-Neto, Jos´e B.; Nascimento, Igor J.S.; Araújo-Júnior, Joao˜ X.; Silva, Julia M.A.; Balbino, Tereza C.L.; Silva-Júniorf, Edeildo F.; Aquino, Thiago M.; Mendonca-Junior, Francisco J.B.; Marinho, Emmanuel S.; Santos, H´elcio S.; Lima, Clara Mariana Gonçalves; Obaidullah, Ahmad J.; Emran, Talha Bin; Cunha, Francisco A.B.; Menezes, Irwin R.A.; Tintino, Saulo R.; Coutinho, Henrique D.M. (Elsevier, 2024-08-14)
    Staphylococcus aureus is a bacterium responsible for resistance to multiple drugs and the efflux system is widely studied among the resistance mechanisms developed by this species. The present study evaluates the inhibition ...
  • Exploring the Thermoluminescence Characteristics of Smartphone Screen Safety Glasses for Retrospective Dosimetry Applications 
    Muslima, Umme; Khandaker, Mayeen Uddin; Lam, S.E.; Mat Nawi, S.N.; Sani, S.F. Abdul; Ung, N.M.; Osman, Hamid; Hanfi, Mohamed Y.; Sayyed, M.I.; Alzimami, Khalid; Alqahtani, Amal; Bradley, D.A. (Elsevier, 2024-10-15)
    In clinical settings, standard dosimeters might miss radiation mishaps. Retrospective dosimeters could help to track personnel (such as patients and other staff who don't wear dosimeters) exceeding safe limits and assess ...
  • Autophagy as a Targeted Therapeutic Approach for Skin Cancer: Evaluating Natural and Synthetic Molecular Interventions 
    Ali, Md. Liakot; Roky, Amdad Hossain; Azad, S.M. Asadul Karim; Shaikat, Abdul Halim; Meem, Jannatul Naima; Hoque, Emtiajul; Ahasan, Abu Mohammed Fuad; Islam, Mohammed Murshedul; Arif, Md. Saifur Rahaman; Mostaq, Md. Saqline; Mahmud, Md. Zihad; Amin, Mohammad Nurul; Mahmud, Md. Ashiq (Elsevier, 2024-01-15)
    Skin cancer, a prevalent malignancy worldwide, poses significant health concerns owing to its increasing incidence. Autophagy, a natural cellular process, is a pivotal event in skin cancer and has advantageous and detrimental ...
  • Natural Radioactivity, Mineralogy and Hazard Assessment of Syenogranites (Ornamental Stones) Using a Statistical Approach 
    Taalab, Sherif A.; Ismail, Ahmed M.; Maadawy, W.M. El; Abdelrahman, Kamal; Khandaker, Mayeen Uddin; Sakrf, Ahmed K.; Ha, Mohamed Y. (Elsevier, 2024-05-23)
    The study focused on syenogranite and its altered variety, and specifically monitored the activities of 226Ra, 232Th, and 40K using NaI(Tl) gamma-ray spectroscopy. Syenogranites in the study area in Egypt were investigated ...
  • Evaluation of the Impact of PL/hBN and PL/B4C on the Neutron Leakage Generated by the LINAC in the Treatment Room 
    Hassanpour, Mehdi; Faruque, Mohammad Rashed Iqbal; Hassanpour, Marzieh; Khandaker, Mayeen Uddin; Al-mug, K.S. (Elsevier, 2024-05-03)
    In this study, the maximal reduction of neutron leakage into the treatment room and bunker walls was evaluated by placing three stratified layers of PL/hBN and PL/B4C at distinct spatial coordinates within a medical linear ...
  • Identification of New Inhibitors for the Avian H1N1 Virus Through Molecular Docking and Dynamic Simulation Approaches 
    Islam, Md Rezaul; Sharma, Shankar; Arafat, Sk Yeasir; Bairagi, Rahul Dev; Tayyeb, Jehad Zuhair; Bayıl, Imren; Morais, Gabriel Christian de Farias; Abdellattif, Magda H; Abdelkrim, Guendouzi; Oliveira, Jonas Ivan Nobre (Elsevier, 2024-10-15)
    The new variant of influenza A virus is known as avian H1N1 subtype which particularly affects birds, and poultry. However, recently it is affecting in human, and creating global health problem. So, this research has studied ...
  • Recycling Orange Waste for the Sustainable Dyeing of Polyester Fabric 
    Hussain, Touqeer; Arain, Muhammad Fahad; Khan, Imran Ahmad; Javed, Kashif; Khan, Hamza; Ahmed, Arsalan; Khan, Asfandyar (Elsevier, 2024-10-15)
    This research marks the first instance of employing an orange peel powder (OP) for the environmentally friendly one-bath extraction and dyeing of 100 % polyester fabric through the exhaust method. OP is an abundant, ...
  • Skinnet-14: A Deep Learning Framework for Accurate Skin Cancer Classification Using Low-resolution Dermoscopy Images with Optimized Training Time 
    Mahmud, Abdullah Al; Azam, Sami; Khan, Inam Ullah; Montaha, Sidratul; Karim, Asif; Haque, Aminul; Hasan, Md. Zahid; Brady, Mark; Biswas, Ritu; Jonkman, Mirjam (Springer, 2024-08-15)
    The increasing incidence of skin cancer necessitates advancements in early detection methods, where deep learning can be beneficial. This study introduces SkinNet-14, a novel deep learning model designed to classify skin ...
  • A Study on Social Media Addiction Analysis on the People of Bangladesh Using Machine Learning Algorithms 
    Mim, Minjun Nahar; Firoz, Mehedi; Islam, Mohammad Monirul; Hasan, Mahady; Habib, Md. Tarek (Institute of Advanced Engineering and Science (IAES), 2024-10-15)
    Social media has become a fundamental element of contemporary life, providing countless benefits but also posing substantial concerns. While technology improves connectedness and information exchange, excessive use raises ...
  • Data of History: An Open-source and Multiformat Wall Image Dataset of Panam City, a Historical Place 
    Ahad, Md Taimur; Emon, Yousuf Rayhan; Mustofa, Sumaya (Elsevier, 2024-07-31)
    Historical data on monuments offers valuable insights into that period's past sculpture, architecture, and preferences. Realising the importance of historical data and the scarcity of data on historical places, this study ...
  • Targeted Therapeutic Management Based on Phytoconstituents for Sickle Cell Anemia Focusing on Molecular Mechanisms: Current Trends and Future Perspectives 
    Islam, Md. Rezaul; Rauf, Abdur; Akash, Shopnil; Sharker, Muntasir; Mahreen, Mashiat; Munira, Most Ayesha Khatun; Dhar, Puja Sutro; Hemeg, Hassan A.; Iriti, Marcello; Imran, Muhammad (Elsevier, 2024-08-04)
    The global epidemic of Sickle cell anemia (SCA) is causing thousands of children to die. SCA, a genetic disorder affecting the hemoglobin-globin chain, affects millions globally. The primary physiological issue in these ...

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